Asymptotic Analysis of the Mean Squared Displacement under Fractional Memory Kernels
Asymptotic Analysis of the Mean Squared Displacement under Fractional Memory Kernels
复制标题
分数记忆核下均方位移的渐近分析
DOI:
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发表时间:
2019
影响因子:
2
通讯作者:
Hung D. Nguyen
中科院分区:
文献类型:
--
作者:
G. Didier;Hung D. Nguyen
The generalized Langevin equation (GLE) is a universal model for particle velocity in a viscoelastic medium. In this paper, we consider the GLE family with fractional memory kernels. We show that, in the critical regime where the memory kernel decays like $1/t$ for large $t$, the mean squared displacement (MSD) of particle motion grows linearly in time up to a slowly varying (logarithm) term. Moreover, we establish the well-posedness of the GLE in this regime. This solves an open question from [Mckinley 2018 Anomalous] and completes the answer to the conjecture put forward in [Morgado 2002 Relation] on the relationship between memory kernel decay and anomalously diffusive behavior. Under slightly stronger assumptions on the memory kernel, we construct an Abelian-Tauberian framework that leads to robust bounds on the deviation of the MSD around its asymptotic trend. This bridges the gap between the GLE memory kernel and the spectral density of anomalously diffusive particle motion characterized in [Didier 2017 Asymptotic].
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